I wanted to add a research question since the Internet did not cooperate, and the whole post is not there. 

I am investigating the impact of robots and AI on the mental health of service employees. 

You might be able to borrow from the Lacerenza et al. leadership training meta and just use their keywords (they weren't perfect, but they did a pretty good job of pulling all the relevant literature)

I'm still narrowing down my concepts to measure inflammation but I'm interested in the relationship between Mindfulness-Based Stress Reduction (MBSR) programs and inflammation in women. 

Terms: Mindfulness-based stress reduction OR MBSR

Terms: inflamm* (for inflammation and inflammatory) OR rheumatoid arthritis OR interleukin-6 OR IL-6 OR lupus or fibromyalgia

Terms: wom?n OR female* OR adolescen* OR teen*

RQ: How effective are library services at improving student retention? 

Boolean Search: librar* AND (student retention OR student success OR retention) AND (universit* OR college OR higher ed*) AND graduate* AND student* 

Perhaps * for leadership term Leader*

You may want to consider words such as a manager and/or supervisor 

Research Issue

I am intrigued by literature that argues some occupationally stigmatized occupations (such as cleaners) could be highly satisfying. I am interested in understanding mechanisms and boundary conditions of occupational stigma in relation to employees’ positive and negative work-related outcomes. To address the issues, I have two specific research questions:

RQ 1: How does occupational stigma simultaneously promote adaptive (e.g., employee satisfaction) and maladaptive (e.g., withdrawal behaviors) employee outcomes?

RQ2: When does occupational stigma simultaneously promote adaptive (e.g., employee satisfaction) and maladaptive (e.g., withdrawal behaviors) employee outcomes?

Literature Research

We initiated a comprehensive literature search to identify empirical studies on occupation-related stigmas associated with all types of employees until June 10 of 2025. Our search strategy began with Scopus, selected for its broad indexing of both published and unpublished research. We aimed to capture a diverse array of studies, irrespective of journal focus, provided the content addressed occupational stigma (Lim et al., 2024). To ensure a thorough review, we extended our search to additional databases, including Google Scholar, Web of Science, PsycINFO, PsycARTICLES, Elsevier Science Direct, ProQuest Dissertations & Theses Global, and the Conference Proceedings Citation Index.

We supplemented these searches with backward (ancestry) searches by examining reference lists of relevant articles, allowing us to locate foundational and frequently cited work that may not have appeared in initial queries. Recognizing the importance of high-quality sources, we specifically targeted leading management and psychology journals, such as the Journal of Applied Psychology, Academy of Management Journal, Journal of Management, Journal of Personnel Psychology, and Journal of Organizational Behavior.

To ensure methodological transparency and replicability, we employed a strategic set of search terms. These included general and specific keywords such as “occupational stigma", "job stigma", "workplace stigma", "dirty work", "morally tainted work", "physically tainted work", "occupational stereotypes", "job role stereotypes". To address the risk of publication bias and reduce the impact of the file drawer problem (i.e., the non-publication of null or nonsignificant findings), we directly contacted researchers who had published at least two studies on occupational stigma. These researchers were invited to share unpublished findings, including null results, to ensure a balanced and inclusive evidence base. This literature search process was methodologically rigorous, drawing from diverse data sources and employing multiple search strategies to capture the full scope of available evidence. Our efforts yielded a robust body of research that forms the empirical foundation for the present review and supports future replication and meta-analytic endeavors.

Search String

("occupational stigma" OR "job stigma" OR "workplace stigma" OR "dirty work" OR "morally tainted work" OR "physically tainted work" OR "occupational stereotypes" OR "job role stereotypes")

Hi Nikita!

Would it be helpful to use a * in some of these search terms? Such as "neurodiv*"? That might more comprehensively capture all the word variations about the same topic.

Hope this helps! 🙂

It is an interesting topic and a good start. Good luck with the project.